Arbeitspapier

Developing an underlying inflation gauge for China

The headline consumer price index (CPI) is often considered too noisy, narrowly defined, and/or slowly available for policymaking. On the other hand, traditional core inflation measures may reduce volatility but do not address other issues and may even exclude important information. This paper develops a new underlying inflation gauge (UIG) for China which differentiates between trend and noise, is available daily and uses a broad set of variables that potentially influence inflation. Its construction follows the works at other major central banks, adopts the methodology of a dynamic factor model that extracts the lower frequency components as developed by Forni et al (2000) and draws on the experience of the People's Bank of China in modelling inflation. The paper is the first application of this type of dynamic factor model for inflation to any large emerging market economy. Our UIG for China is less noisy but still closely tracks the headline CPI. It does not suffer from the excess volatility reduction that plagues traditional core inflation measures and instead provides additional information. Finally, when forecasting the headline CPI, our UIG for China outperforms traditional core measures over different samples.

Language
Englisch

Bibliographic citation
Series: Bruegel Working Paper ; No. 2014/11

Classification
Wirtschaft
Estimation: General
Multiple or Simultaneous Equation Models: Panel Data Models; Spatio-temporal Models
Index Numbers and Aggregation; Leading indicators
Price Level; Inflation; Deflation
Prices, Business Fluctuations, and Cycles: Forecasting and Simulation: Models and Applications
International Financial Markets
Subject
Inflation
Dynamic Factor Models
Core Inflation
Monetary Policy
Forecasting
China

Event
Geistige Schöpfung
(who)
Amstad, Marlene
Huan, Ye
Ma, Guonan
Event
Veröffentlichung
(who)
Bruegel
(where)
Brussels
(when)
2014

Handle
Last update
10.03.2025, 11:43 AM CET

Data provider

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Object type

  • Arbeitspapier

Associated

  • Amstad, Marlene
  • Huan, Ye
  • Ma, Guonan
  • Bruegel

Time of origin

  • 2014

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